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Branuvg

mcp_f1_strategy

by Branuvg

predict_finish_position

Forecast a driver's finishing position and total time for a planned strategy, assuming rivals hold their pace. Enables data-driven pit-stop decisions from real session data.

Instructions

Projects driver's finishing position and total time for a planned strategy, assuming rivals hold their recent pace with no further stops.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
driverYes
seasonYes
circuitYes
sessionYes
current_lapYes
planned_strategyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of explaining behavior. It accurately communicates that this is a projection/calculation tool with no side effects, and it discloses the key modeling assumption about rivals' pace. It does not explicitly state that it is read-only, but the verb 'projects' strongly implies a non-mutating operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence that front-loads the core action and output, then efficiently states the key assumption. There is no redundant or extraneous wording, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has six required parameters, a nested object, and several closely related sibling tools, the description leaves important gaps. It does not clarify what 'planned_strategy' should contain, how 'current_lap' relates to the projection, or whether 'session' refers to race, qualifying, or practice. The output schema exists but is not shown, so the agent still lacks sufficient context to construct a correct call confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides no descriptions for the six parameters, and the description only explicitly clarifies the meaning of 'driver' and 'planned_strategy'. It does not explain the role or expected values of 'season', 'circuit', 'session', or 'current_lap', nor does it describe the shape or fields of the nested 'planned_strategy' object. Since schema coverage is 0%, the description needed to compensate but only covers about a third of the parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's primary function: projecting a driver's finishing position and total time based on a planned strategy. It also names the key entity (driver) and the specific output (finishing position and total time), making it distinct from general race-state or strategy-comparison tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies a usage scenario by stating the key assumption ('assuming rivals hold their recent pace with no further stops'), which helps the agent know when the projection is valid. However, it does not explicitly say when to use this tool over siblings like simulate_undercut_overcut or compare_strategy_options, nor does it provide guidance on alternative tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.